{"url":"/dataset/send","name":"SEND","full_name":"Stanford Emotional Narratives Dataset","description_markdown":"SEND (Stanford Emotional Narratives Dataset) is a set of rich, multimodal videos of self-paced, unscripted emotional narratives, annotated for emotional valence over time. The complex narratives and naturalistic expressions in this dataset provide a challenging test for contemporary time-series emotion recognition models.\r\n\r\nSource: [Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset](/paper/modeling-emotion-in-complex-stories-the)","description_withheld":null,"homepage":"https://github.com/StanfordSocialNeuroscienceLab/SEND","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/modeling-emotion-in-complex-stories-the","title":"Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset","first_author":"Desmond C. Ong","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Word Embeddings","url":"/task/word-embeddings","datasets_with_task":"/datasets/task/word-embeddings"}],"languages":[],"variants":["SEND"],"data_loaders":[{"repo":"https://github.com/StanfordSocialNeuroscienceLab/SEND","url":"https://github.com/StanfordSocialNeuroscienceLab/SEND","frameworks":[]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}